RT journal article
T1 Latent personality profiles of analog astronauts: An unsupervised clustering method analysis
A1 González de la Torre Muñoz, Sara
A1 Rasero, Adrian
A1 Diaz-Artiles, Ana
A1 Ramallo Luna, Miguel Ángel
A1 González de la Torre Benítez, Gabriel
A2 Psicología
AB The selection of astronauts for space missions is an important process that involves the assessment of multiplefactors, including personality traits. Previous studies have corroborated that these traits exert a significant influenceon the performance and adaptation of the crew during the execution of space missions. In this study,International Personality Item Pool - NEO – 120 (IPIP-120) was used to assess the personality of participants in asample of 43 analog astronauts who took part in 9 different analog missions between 2022 and 2023. Theobjective was to identify specific personality profiles among the analog astronauts using the unsupervised k-means clustering method. The centroids of each cluster were analyzed to describe distinctive personality profiles.The results revealed the existence of two distinct personality clusters among the analog astronauts. The firstcluster showed a greater propensity toward adventure, intellect, goal striving, extroversion, and cooperation. Incontrast, the second cluster exhibited lower scores on these traits. The identification of these two differentiatedpersonality profiles reinforces the importance of personality assessment as a valuable tool in the astronaut selectionprocess. Furthermore, the application of the k-means method demonstrates its utility as an effectivetechnique for identifying underlying patterns in complex datasets. These findings may inform future astronautselection strategies, contributing to the formation of more effective and cohesive teams for space missions.
PB Elsevier
SN 0094-5765
YR 2024
FD 2024
LK http://hdl.handle.net/10498/35118
UL http://hdl.handle.net/10498/35118
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 07-nov-2026